Vered Schechner

46 papers receiving 1.3k citations

Peers

Vered Schechner
Comparison fields: 5 of 90
  • Molecular Medicine 587
  • Applied Microbiology and Biotechnology 184
  • Endocrinology 177
  • Clinical Biochemistry 146
  • Infectious Diseases 365
Replace Cristina Pitart with:
Cristina Pitart Spain
Flávia Rossi Brazil
Gill Smollan Israel
Kyeong Seob Shin South Korea
Deepthi Nair India
María Ángeles Orellana Spain
Hadir A. El‐Mahallawy Egypt
Elisabetta Mantengoli Italy
D. Sofianou Greece
Seong Yeol Ryu South Korea
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Citations per year

Countries citing papers authored by Vered Schechner

Since Specialization
Citations

This map shows the geographic impact of Vered Schechner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vered Schechner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vered Schechner more than expected).

Fields of papers citing papers by Vered Schechner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vered Schechner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vered Schechner. The network helps show where Vered Schechner may publish in the future.

Co-authors

The 25 scholars most cited alongside Vered Schechner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vered Schechner Line = papers co-authored together Vered Schechner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017259
2 2013148
3 2012144
4 2010118
5 2009111
6 201160
7 201058
8 200955
9 200342
10 201633
11 202221
12 200421
13 200420
14 202120
15 202017
16
Predictors of pandemic (H1N1) 2009 virus positivity and adverse outcomes among hospitalized patients with a compatible syndrome.
201014
17 201914
18 202014
19 201414
20 201612

About Vered Schechner

Vered Schechner is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Epidemiology, Endocrinology and Infectious Diseases, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (17 papers), Antibiotic Use and Resistance (8 papers), Blood properties and coagulation (5 papers), Vibrio bacteria research studies (4 papers), Streptococcal Infections and Treatments (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Urinary Tract Infections Management (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Molecular Medicine (587 citations), Applied Microbiology and Biotechnology (184 citations), Endocrinology (177 citations), Clinical Biochemistry (146 citations) and Infectious Diseases (365 citations). Vered Schechner has collaborated with scholars based in Israel, Switzerland and United States. Frequent co-authors include Yehuda Carmeli, Mitchell J. Schwaber, Shiri Navon‐Venezia, David A. Schwartz, Elizabeth Temkin, Inna Chmelnitsky, Stéphan Harbarth, T. Kotlovsky, M. Kazma and Amos Adler. Their work appears in journals such as Infection Control and Hospital Epidemiology, Antimicrobial Resistance and Infection Control, Clinical Microbiology and Infection, Antibiotics and Journal of Hospital Infection.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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